Extended : Multi-Objective Resource Optimisation using Enhanced FPA-DRL in a Heterogeneous Cloud Computing Environment

Puntos clave

• To optimize resources in cloud computing using a multi-objective approach with FPA-DRL.
• Utilized a multi-objective framework for resource optimisation.
• Applied enhanced Firefly Algorithm with Deep Reinforcement Learning (FPA-DRL).
• Tested in a heterogeneous cloud computing environment.
• Achieved improved resource allocation effectiveness.
• Demonstrated efficiency gains compared to traditional methods.
• Showed potential for scaling optimally in diverse cloud settings.